Credyt

Categories: Business & Sales, Automation / Agents, Coding & Developer Tools | Pricing: Freemium | Official Website ↗

Credyt provides real-time monetization infrastructure for AI products, enabling cost observation, usage control, and flexible billing models.

Credyt offers an economic control stack designed for AI businesses, covering six phases from initial inference cost to full governance. It allows users to observe AI spend per customer in real time, enforce usage limits, and implement various pricing models such as usage-based, subscription, hybrid, and credit-based. The platform aims to solve common challenges faced by AI builders, including difficulty in pricing AI products, fronting AI costs, and lacking per-customer profitability insights. The solution provides real-time cost streaming for every API call, model, and customer, enabling immediate visibility into user costs and profitability. It also features real-time authorization checks to prevent runaway spend by blocking actions if a customer's balance is insufficient. Credyt supports designing and refining pricing models through a dashboard, offering customer-facing billing portals with live balance, usage history, and top-up options without requiring frontend engineering.

Key Features

Real-time cost observation
Real-time usage control and limits
Support for multiple pricing models (usage-based, subscription, hybrid, credits)
Per-customer cost attribution
Customer billing portal
API and SDKs for integration
Webhooks
Multi-asset wallets (USD, tokens, custom units)

Pros

Provides real-time visibility into AI costs and customer profitability.
Enforces usage limits in real time to prevent overspending.
Supports various pricing models without requiring custom engineering.
Offers a free tier for building and testing, and the first 10 active wallets are free.
Does not take a percentage of revenue or add payment processing markups.

Cons

Pricing is per active wallet, which might scale with user base.
Requires integration into existing AI applications.
Specific details on volume discounts are not explicitly stated.
The platform is focused on AI monetization, not general billing for non-AI products.
No explicit mention of support for non-English languages in the UI/billing portal.

Use Cases

Understanding how to price AI products
Finding the right pricing model for AI services
Attributing costs per customer for AI usage
Implementing hybrid pricing models (usage, credits, subscriptions)
Metering any event for usage-based pricing
Managing real-time credit wallets with full history

Best For

Vibe coders and solo founders building AI apps
AI companies (Seed–Series A) needing real-time cost management
Scaling AI companies (Series B+) requiring advanced control and pricing flexibility
Engineering teams avoiding building billing infrastructure
Finance teams needing real-time revenue and margin insights

Integrations: MCP server, Claude Code, Cursor, Codex, Windsurf, ChatGPT, Lovable, Bolt v0, Replit, Stripe

Platforms: Web

Watch demo on YouTube ↗

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